Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text
Qatar University · Texas A&M University at Qatar
Abstract
Abstract The proliferation of artificial intelligence (AI)-generated content, particularly from models like ChatGPT, presents potential challenges to academic integrity and raises concerns about plagiarism. This study investigates the capabilities of various AI content detection tools in discerning human and AI-authored content. Fifteen paragraphs each from ChatGPT Models 3.5 and 4 on the topic of cooling towers in the engineering process and five human-witten control responses were generated for evaluation. AI content detection tools developed by OpenAI, Writer, Copyleaks, GPTZero, and CrossPlag were used to evaluate these paragraphs. Findings reveal that the AI detection tools were more accurate in…
Citation impact
- FWCI
- 11.02
- Percentile
- 100%
- References
- 17
Authors
3Topics & keywords
- Content (measure theory)
- False positive paradox
- Computer science
- Human intelligence
- Plagiarism detection
- Artificial intelligence
- Control (management)
- Process (computing)
- Quality Education